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Pipeline Durations — Record Quality Audit + Keyed Dataset Comparison
x402
Pipeline Durations — Record Quality Audit + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).
Audits record quality and compares two keyed datasets of pipeline duration metrics (run_seconds, processed_rows) for up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Pipeline durations — Record quality audit + Keyed dataset comparison: Record quality audit + Keyed dataset comparison for supplied pipeline durations records (run_seconds, processed_rows). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Two independent analytical reports: (1) a record quality audit identifying data issues such as nulls, out-of-range values, or malformed entries across the supplied rows, and (2) a keyed dataset comparison report showing row-by-row differences between the primary and secondary datasets based on shared row_id keys. No external data is fetched; all analysis is performed on the supplied data.
Example use cases
Detecting regressions in pipeline run times
“I ran our nightly ETL pipeline last week and again this week — can you compare the two sets of run_seconds and processed_rows records by row_id and tell me which jobs got slower or have quality issues?”
Quality gate before loading to data warehouse
“Before I load these pipeline duration logs into the warehouse, can you run a record quality audit on up to 200 rows with fields like row_id, dataset_group, date, run_seconds, and processed_rows, and flag anything that looks malformed or suspicious?”
Comparing pipeline output across environments
“I have pipeline duration records from our staging environment and our production environment — same row_ids — can you compare them side by side and highlight where run_seconds or processed_rows differ significantly?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-05-018?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a keyed comparison of two pipeline duration datasets in a single call. It is ideal for data engineers validating ETL pipeline metrics, comparing pipeline runs across environments or time periods, and catching data issues before loading. It operates entirely on supplied data with no external lookups, making it suitable for sensitive or offline datasets.
Side effects
- Exceeding 200 rows causes a validation error
- Missing required fields (row_id, dataset_group, date, run_seconds, processed_rows) causes rejection
- Invalid date format (non-YYYY-MM-DD) triggers schema validation failure
- Mismatched row_ids between datasets may result in empty or partial comparison report
- Numeric values outside allowed range cause validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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